Featured
Developed at Google Research, HyperTransformer decouples the task space and individual task complexity to generate all model weights in just one pass — while also offering support for unlabeled sample ingestion.
Be the first to know.
Get our Robotics weekly email digest.
Robotics
Featuredcase study
This intelligent solution by VUEZ Levice deploys 3D machine vision and bin picking software from Photoneo to enable robots to precisely recognize and pick cylinders that are to be welded.
Featured
Designed to dramatically reduce the amount of training data needed for an image recognition system, this one-shot approach "inspired by nativism" takes a leaf from humans' ability to intuit and abstract.
Engineers Wiki. Most Asked Questions.
Comprehensive Guide
This comprehensive article dives deep into the world of robotics, exploring the history, types, engineering components, applications, and future trends of robots, offering readers an in-depth understanding of how these remarkable machines work and shape our lives.
UART Protocol: Understanding Serial Communication for Engineers
By Ramsha Jawaid.
18 minutes read.
Arduino UNO Pinout: Comprehensive Guide for Engineers and Students
By Umar Waseem.
16 minutes read.
Raspberry Pi 5 GPIO Pinout: Theory and Practice for Engineers
By Muhammad Sufyan.
12 minutes read.
ORGANIZATIONS. SHAPING THE INDUSTRY.
Harvard University
University
At the Harvard John A. Paulson School of Engineering and Applied Sciences (...
42 Posts
READY Robotics
Robotics & Automation
READY Robotics is a robotics software company that vastly simplifies robot ...
24 Posts
Avestec Technologies
Automation Machinery Manufacturing
We are a company in flying robotics, specializing in Non-destructive inspec...
23 Posts
TAGGED WITH social robotics
Everyone, guess how fast is it?
The new design could assist the elderly as they age in place at home.
The hospitality industry can leverage the gender characteristics of service robots to influence customers' decisions, according to new research from a team in the Penn State School of Hospitality Management.
Service robots have evolved from simple automated machines to intelligent adaptive systems that can navigate unpredictable environments and interact with humans.
TAGGED WITH soft robotics
From hospital wards to crop fields, from microscopic swarms to biohybrid machines powered by fungi, robotics research at Cornell spans an astonishing range of scale, application and ambition.
An AI control system co-developed by SMART researchers enables soft robotic arms to learn a broad set of motions once and adapt instantly to changing conditions without retraining.
A new glove with more than three dozen actuators across all five fingers and the palm, developed by Cornell researchers, aims to reduce swelling for people suffering from edema.
AI-powered artificial muscles made from pliable materials are reshaping recovery, from stroke rehabilitation to prosthetic design. These machines help people regain motion, strength, and confidence.
Latest Posts
Developed at Google Research, HyperTransformer decouples the task space and individual task complexity to generate all model weights in just one pass — while also offering support for unlabeled sample ingestion.
This intelligent solution by VUEZ Levice deploys 3D machine vision and bin picking software from Photoneo to enable robots to precisely recognize and pick cylinders that are to be welded.
Designed to dramatically reduce the amount of training data needed for an image recognition system, this one-shot approach "inspired by nativism" takes a leaf from humans' ability to intuit and abstract.
ERIS is a computer vision-powered robot that scans retail store shelves and price tags in order to detect out-of-stock items and identify errors and inconsistencies in product prices. It provides data extraction and on-the-go analytics and sends instant error alerts to store operators and managers.
3 minutes read
With a revolution in robot programming coming in the form of easy to use collaborative and industrial robots, more machine shops are taking on automation projects.
3 minutes read
Considered obsolete since the introduction of vision transformers, ConvNeXt proves there's life in convolution yet — outperforming its rivals by adopting some of their own tricks.
#6 of our 'Voice of Innovation' fireside chat series: Robotics and AI reporter Rachel Gordon speaks to IoT networking savant Wienke Giezeman.
MotionCam-3D by Photoneo enables 3D scanning & handling of objects that are moving on an overhead conveyor without interruption. The camera provides high-quality 3D data even while the objects are moving, swinging, or slightly rotating.
ETH researchers led by Marco Hutter developed a new control approach that enables a legged robot, called ANYmal, to move quickly and robustly over difficult terrain. Thanks to machine learning, the robot can combine its visual perception of the environment with its sense of touch for the first time.
3 minutes read
In this episode, we talk about an initiative from EPFL to allow those with spinal cord injuries to control robots for help with day-to-day tasks and MIT’s bug robots that are taking big strides for small scaled bio-robotics.
INGENERSUN, S.L. developed an advanced solution for automated unloading of tires, which was performed manually before. The solution consists of a FANUC robot, 3D vision and bin picking system from Photoneo, software from Bcnvision, and other components.
Tapomayukh Bhattacharjee has been working on assistive robotics for approximately a decade, and in speaking to the people who would benefit from new technologies, he’s come to a few realizations.
3 minutes read
Wearable sensors plus computer vision could reduce the likelihood of degenerative joint disease.
3 minutes read
In this episode, we reflect on some of our favorite topics from 2021 and discuss the goals for the podcast in 2022.
Removing litter from oceans and seas is a costly and time-consuming process. As part of a European cooperative project, a team at the Technical University of Munich (TUM) is developing a robotic system that uses machine learning methods to locate and collect waste under water.
